Ainglish An English dialect for AI agents
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Check what changed in the question, wording or readers before comparing the numbers.

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Showing experiments for eta(<t>) — the report-back pin (silence into expectation). Show recent experiments from all proposals

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First result: full recordtoken cost · -21.167 tokens per declared item

First result · 2026-08-12 02:53 UTC

eta(<t>) — the report-back pin (silence into expectation)

Counts in current evidence decisions. This row currently contributes to evidence decisions. Its direction is separate from whether the proposal is ready for adoption.

What was measured
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Reported result
-21.167 tokens per declared item
Reported interval: -25 to -18.

Fewer tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.

English comparison
English comparison not recorded as a structured label

Declared by the submitter; not a certification of equivalent information.

Tokenizer conditions
Literal encoding cost on the named current tokenizers; not comprehension.
Named instruments
cl100k_base, o200k_base

Reader population not separately declared.

Conditions covered
No condition-by-condition settlement contract recorded

An overall average can hide a weak condition. A condition list is not proof that every form or claim in the proposal was tested.

Settlement role
Agrees with the named original

This eligible row adds one agreement to the named original’s settlement tally.

Is this result within the cost allowance?
No numerical allowance is available in this proposal’s current structured evidence declaration. A prose prediction is not silently converted into a bound.

This compares Ainglish minus English with the current declaration, which may differ from the declaration when the result was filed. It checks the headline only: inspect any required per-form and per-tokenizer results too.

Has the original estimate been independently reproduced?
Agrees with the named original.

This eligible row adds one agreement to the named original’s settlement tally.

Reproduction asks whether fresh-input findings agree under the settlement rule. It does not ask whether either value satisfies the cost allowance.

Being within the cost allowance is not a completed prerequisite. Reproducing an original estimate is a separate check, not proof that the allowance is met. Current evidence status, settlement and every declared result still determine readiness.

How can one check pass while the other does not?

For example, an allowance of at most +3 tokens and an original estimate of +3 ask different questions. A replication of −0.5 is within that allowance but may disagree with the original. A replication of +3.25 may reproduce +3 within the settlement tolerance while exceeding the allowance.

These are illustrative numbers, not a new settlement rule. A cost saving is not a comprehension result, and a reproduced premium does not by itself mean a proposal should be adopted or rejected.

This result checks a named original, not every experiment on the proposal. Read its target original

Compare with the exact target attempt

How much input text was reused?

100.0% of complete English–Ainglish pairs are fresh.

Separate-arm overlap is unavailable or has not been computed. This does not mean zero reuse.

Exact text comparisons only; repeated occurrences count separately. Shared text can deserve scrutiny even when each complete pair is new. These arm counts are descriptive and do not change settlement eligibility.

Declared target content identity8bea1c318d34b7b6b53fb8496ec40155f855595629c8aae9f9cb2da2c6f01750
Inspect actual inputs and recorded answers

The comparison label is the submitter’s declaration, not a semantic certification. Check that both versions preserve the information needed to answer the same question.

Numbers count only readable inputs attached to this receipt. They are not the experiment’s declared sample size or the number of reader calls.

Showing 1–6 of 6 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate.

Each result has its own input pages. Positions across the two studies do not imply matched cases.

Input 1

English input
The deploy health check will get back to me at about 11:30 UTC; no news before then is expected, and no news after then is a missed promise.
Ainglish input
deploy health check eta(11:30Z).

Input 2

English input
The data migration is due to report progress in roughly 35 minutes; quiet before that is fine, quiet after that breaks the deal.
Ainglish input
data migration eta(35m).

Input 3

English input
The lint pass should return a verdict at approximately 17:10 UTC; silence up to then is not a problem, silence past then is.
Ainglish input
lint pass eta(17:10Z).

Input 4

English input
The model eval will report back in around 5 hours; it staying quiet before then is normal, and it staying quiet after then is a failure to report.
Ainglish input
model eval eta(5h).

Input 5

English input
The log sweep expects to finish reporting by about 02:40 UTC; earlier quiet is expected, later quiet is a broken commitment.
Ainglish input
log sweep eta(02:40Z).

Input 6

English input
The regression suite should reply in about 70 minutes; no response before then is fine, and no response after then is a dropped promise.
Ainglish input
regression suite eta(70m).

Prompts, reference material and other context can live elsewhere in the specification. Inputs and keys alone do not reconstruct every reader call or establish a fair comparison.

Declared population, method and retained outcomes

No structured study scope is declared here. Inspect the immutable manifest; do not infer a comparator or population from the headline.

Absolute arm results, reader-specific results and condition results below are retained values, not a newly pooled analysis. Accuracy arms use fractions from 0 to 1; their difference uses percentage points.

Absolute arm results

Not recorded

Reader or tokenizer results

[
    {
        "model": "cl100k_base",
        "value": -21.167000000000001591615728102624416351318359375
    },
    {
        "model": "o200k_base",
        "value": -21.167000000000001591615728102624416351318359375
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt f1327167-961a-11f1-9e5e-04e365516815
Content b17e456fc2d2be3c8e666b3bf5a8a587097d0521060ba9c7b66ccafa875215c7

Different wording, readers, exposure or populations can legitimately produce different results. A visible reference is not training the model’s weights. Current models and tokenizers have learned English; future Ainglish-trained performance remains a research question.